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First questionnaire question 1
[[File:Question_1_Group18_2021.png|800px|thumb|center|Question 1]]
[[File:Question_1_Group18_2021.png|800px|thumb|center|Question 1]]
 
First questionnaire question 4
[[File:Question_4_Group18_2021.png|800px|thumb|center|Question 4]]
[[File:Question_4_Group18_2021.png|800px|thumb|center|Question 4]]
 
First questionnaire question 6
[[File:Question_6_Group18_2021.png|800px|thumb|center|Question 6]]
[[File:Question_6_Group18_2021.png|800px|thumb|center|Question 6]]
 
First questionnaire question 7
[[File:Question_7_Group18_2021.png|800px|thumb|center|Question 7]]
[[File:Question_7_Group18_2021.png|800px|thumb|center|Question 7]]


= References =
= References =
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<references />

Revision as of 14:45, 8 April 2021

Robot Desk Companion

Currently Working:No one

Group Members

Name Student ID Department Email address
Okke Rikmenspoel 1376489 Psychology and Technology o.m.rikmenspoel@student.tue.nl
Christian Janssen 1458167 Psychology and Technology c.h.f.janssen@student.tue.nl
Richard van Loon 1238071 Computer Science and Engineering r.p.a.v.loon@student.tue.nl
Ahmad Alsarakbi 1285874 Computer Science and Engineering a.alsarakbi@student.tue.nl
Isabel Kuipers 1297325 Industrial Design i.e.kuipers@student.tue.nl

Problem statement

Due to the COVID-19 pandemic, which started in early 2020, students had to work from home for longer periods of time. Different types of health problems occurred due to the work-from-home situation.[1] Students sit in front of their screen for many hours, Concentration is heavily impacted as well by students neglecting their health and not taking breaks or taking care of themselves. Also a phone is almost always in sight and nobody is telling them not to use it. Mobile phones can be distracting depending on what you do with them. Studies have shown that texting or social media use is highly distracting when studying but listening to music does not have to.[2]

Students do not need a nanny bot, however, a robot that guides them in the right direction would be very beneficial. This robot will be placed on the desk where the student works. The robot should not be too distracting (1). It should guide and motivate studying (2). And it should give friendly concentration reminders (3).

Plan

Objectives

  1. Guide studying. Our robot should help the student concentrate and fulfill his or her study time.
  2. It should not be too distracting. It is very important that our robot is not distracting since that would go against our main goal of helping the student study
  3. Make the robot amiable and persuasive in a non-aggressive way

Method

To make sure what we want to build, the first thing we need to do is doing a literature research on what helps concentration in students (university). We also need to research what aspects of social robots best connect with this user group, and how to make the robot as persuasive as possible to positively influence their study behavior. The second thing we want to make a questionnaire to get better insights, especially since our initial look into literature showed a lack of research into our target user group when it comes to social robots, and a second questionnaire which we are going to base on the results we get from the research and the first questionnaire, to mainly look into design aspects that would most connect with our user group. Then we are going to create a simulation of the robot design and functionality, for that we might have to look for ways to make it possible to user test it within a normal environment, this is to get feedback on how to improve the robot. And finally we are going to create a presentation where we will demonstrate our work.

Deliverables

  1. A report on the project process in the form of a wiki page.
  2. Prototype robot
  3. Robot design
  4. presentation and promotional video

USE Analysis

To make sure we are designing our robot to be as helpful as possible for our users we did a USE analysis of the various users, which will be discussed in this section.

User analysis

The main users of this robot will be students, and people with concentration problems. But mostly students with concentration problems. This robot can help people with getting work or study done, by making sure the users follow their schedule. The goal is to help the user make a schedule, because without a schedule the robot will not work, after that the robot will help the user to make sure they actually follow the schedule. A secondary effect of the robot is that the user will stay healthier by making sure the user gets enough movement, enough breaks and makes sure the user will not get too distracted by the phone.

Society analysis

Schools and Universities will profit from this product because the students that need help with studying and have concentration issues can be assigned with such a robot to make sure the school needs to do less work to make sure the students do not get concentration issues, and if they have them, to solve it. Also parents will profit from this because they will not have to worry about their kids not concentrating or being on their phone constantly because the robot makes sure their user studies and otherwise tries to get the user to do the work. This is also the case when someone works for a business and has trouble working at home or at office. The product can help them work and take breaks when needed.

Enterprise analysis

Businesses will also have profit from this product. Students are being helped to study, which means they on average will get higher grades which means more knowledge. This knowledge will help with work. Also when working the users will be helped and be more time effective. This will help the overall economy grow. Because of corona more and more people are working at home and it has proven to be effective. This product will make working at home even more effective.

Scenario

Karl is a 20 year old computer science student, he spends a lot of time working and studying on his laptop. Due to COVID-19 he spends even more time in his room. He has started to have more problems with his concentrate and is stuck in bad habits which makes it even harder to do so.

Karl heard about Fibo and how it can help you follow good habits to increase your concentration and improve your study behaviour, so he decided to buy it. He puts Fibo on his desk in the corner so he could keep an eye on it, but it would not distract him. Karl sets a timer for a 30 minutes study session and Fibo makes sure Karl will stay away from his phone. After 15 minutes Fibo informs him that he should take a break, Karl thinks he should keep working so ignores Fibo. Fibo shows with his facial expression that it is disappointed, Karl feels bad. He decides to take a break and get a glass of water and not use his phone, since Fibo does not say he can use it. After the break Karl feels reenergized and ready to start again, Fibo found one of his bad study habits.

After the 30 minutes Fibo informs very happily that he has finished his study session, and as a reward it gives his phone back. Karl decides to take another break to go for a walk and start another session. He realized that Fibo did really help with his keeping him concentrated.

Research

Effect of colors on the brain

We also did research on colors, research by shift [3] shows that low wavelength colors can improve efficiency and focus. For example the color green or blue. The color orange is a mood lifter. The color is welcoming, it promotes comfort and it also improves neural functioning. Theorists argue that an environment that is rich of orange colors, could increase oxygen levels in the brain. This could eventually lead to feeling invigorated. And makes you ready to get things done, for example school work. Ofcourse it is not only color but also brightness and saturation. When you want to boost energy, use a bright orange and when you want to relax go for mellow. The last color that is spoken of is blue. About blue they say that it makes people more productive. Blue is the best used to enhance learning. Lighter shades of blue look more friendly and lighter ones more somber. Many color psychologists would recommend to use orange. But some orange should be added. Too much blue could create a cold environment and a sense of detachment.

In the article How Does Color Affect Memory [4] we searched for new findings and confirmation of our information we already gathered. This article also says blue enhances knowledge, and orange promotes warmth, joy and balance. A study in University of British Columbia found that Red and Blue colors are best for enhancing cognitive skills. With detail oriented tasks, but also with memory retention, red was much better than blue. Red heightened their attention as well. In this article we also found that when studying you should restrict the use of colors to 2. This is the case with making notes but might also be of use for our project.

At last the site barker whittle [5] states that the color blue encourages better mind flow and performance. It makes sure that the surroundings are relaxing and are better to study or work in. Strong shades of blue support brain thought processes, and lighter shades of blue improve concentration. This article also talks about orange. Orange promotes focus concentration and creativity. The color encourages to be organized and keep your room organized. This will help being motivated to study or work. The brightness of orange is important. Strong brightness can stimulate but be distracting. Orange is the perfect color when you need energy. Green is also ideal for study rooms. It has a calming effect. It also relieves stress.

In conclusion, we want to use the effects of the colors optimally. This is why we will use blue in our robot to enhance the productivity and learning of the users. We will use the color orange in the breaks to make sure the users get organized, creative and more joy in their breaks. The last colors red and green might also be good to use for our robot. We might give it as an option in the robot to use those colors. But blue and orange will be the main 2 colors. Improving concentration is the main goal of our robot and according to this research blue should be able to help the users with this.

Emotions

https://www.psychologytoday.com/intl/blog/trust/201608/why-someones-disappointment-hurts-us-more-their-anger https://classroom.synonym.com/effects-disappointment-8285964.html https://www.psychologytoday.com/us/blog/high-octane-women/201210/emotions-are-contagious-choose-your-company-wisely


For our robot, we need to decide what emotion the robot will express when the user picks up their phone before being done with the study session. The emotions we are choosing from are, anger, disappointment and sadness. We compare the 3 emotions and try to answer the question, which emotion is best suited for our study robot. When someone is angry at you, most of the times we get forgiven by friends or family. So in a way we do not get what we deserve because we get forgiven. Or maybe the matter that made someone angry at you turns out not to be as bad as you thought. After this, we can move on and feel relief. But this is not the case with disappointment. When a person is disappointed, this person assure someone of a chilly calm. The disappointed person does not offer forgiveness. This is the big difference between being disappointed and being angry. We do not get this relief, also we wont get the reassurance that the matter did not matter.

QUOTE https://www.psychologytoday.com/intl/blog/trust/201608/why-someones-disappointment-hurts-us-more-their-anger : There is something depersonalizing, diminishing, and deflating about receiving disappointment rather than anger from our friends: It’s something we expect a parent or teacher to say to a wayward child.

To choose between anger and disappointment is hard. But between those 2 emotions we think disappointment is best fitted. The robot is not meant to be a friend for the users. It is meant to be nice for the users and to motivate them to study. But it will have minimal interactions with the user and it will have more of a teaching or coaching role then a friend role. This makes us think the best emotion between anger and disappointment is disappointment. We think disappointment will be a better motivator for the users to listen. We ourselves would also not like to study with a robot that is angry at us when we are not doing what is asked from us. We do however, need to watch out, because disappointment could have some unwanted effects when exposed to it for a longer time. When the users are continuously reminded that they do not meet the expectations of others (in this case the robot), this could threaten emotional and physical wellbeing. This is why we have to be careful with expressing too much disappointment. Sadness might be a solution to this. Because if the robot is disappointed, but not in the long term, it wont have such an emotional and physical effect on the users. This means that the robot has to start being disappointed. But when the user does not listen, the emotion changes into. This would mean the robot would look sad until the user puts their phone back in the robot. The users eventually probably feel guilty for leaving the robot sad, and will try making him happy. But emotions are contagious. And we want the users to feel as happy as they can during the studying. This is why we will make sure the robot will also reward the people. This means, when the phone is put into the robot, the robot has to be happy, and really make sure the user sees this. If the user becomes more happy when the robot is happy, the user will try to make the robot happier and thus listen better. So rewarding the user with joy is a good way to do this.

Peripheral vision

To make sure the robot or app could attract attention to the user, we needed to study peripheral vision. Peripheral vision is also called indirect vision, and is the vision on the side of the eye. It allows people to view objects that are not in their central vision. Humans are able to see outside of their central vision because of different nerve cells and rods that are located outside of the macula (this is the spot in the center of the eye where the cones are very close together). Humans have a limited peripheral view. The human vision covers around 170 degrees around. The peripheral vision however only covers 100 degrees. In the center of the eye the eye is most sensitive to light, while in the edges there are less photoreceptors and the eye is less sensitive to light. This means that when we want to make sure someone sees the notification or signals from the app or robot, the eye wont see colors well so black and white movement would probably work as well, and maybe even better. The importance of peripheral vision is that it enables us to see things outside of our central vision. It makes us notice movements and objects that we do not look at and this helps us a lot. This human ability to see things that are on the sides of our visual field will be used for our project. The notification or signal for the user of our product will not pop up in the center of their visual field but on the side. But because of peripheral vision the user will still be able to notice this movement and then check what is expected from them. The fact that the color perception in the peripheral vision areas is very limited will not have an effect on our project if we make a physical robot with a light source. Because this light source will then bounce off of other objects that the viewer watches and the light will keep its effect. If the project will be an app on a computer we might not need the research about color or we will need to find a creative way to implement this light. In https://pure.tue.nl/ws/portalfiles/portal/73326073/07927391.pdf there is said that a pulsing light might be too distracting, which is important to know because we can use this in our advantage if we need to attract someone’s attention, and to make sure we will not distract the users when this is not intended. https://irisvision.com/all-about-peripheral-vision/ https://www.oogziekenhuis.nl/macula-gele-vlek https://pure.tue.nl/ws/portalfiles/portal/73326073/07927391.pdf Effects of ambient lighting displays on peripheral activity awareness K Davis, EB Owusu, L Marcenaro, L Feijs, C Regazzoni, J Hu IEEE Access 5, 9318-9335


Scheduling and Motivation

For our robot, we felt it was necessary to research when a student should take breaks. Since most studying is done with a computer we found an interesting study titled ‘Supplementary breaks and Stretching Exercises for Data Entry Operators’.[6] This paper states that hourly 5 minute breaks decrease musculoskeletal discomfort and eyestrain. This same paper did not find any significant differences in doing stretching exercises or not. This paper is interesting to us because we can base the work schedule our robot makes for the student on this information. Advising the student to take a 5-minute break every hour would be good.

Another interesting paper written by Kenneth T. Strongman & Christopher D. B. Burt shows that most breaks are related to hunger or thirst.[7] This is helpful knowledge because we can tackle people taking breaks by indicating to drink a glass of water every half hour. Provided that they keep a bottle at their desk and don’t refill their glass every time because that would take time.

Other studies give examples of things to avoid while taking a break and things that are good to do while taking a break.[8] Things to avoid are snacking junk food or taking a nap. Sleeping during the daytime actually makes you more tired, slows you down and makes you less productive. Watching television, browsing the internet or playing video games are activities that do not aid efficiency. Another thing that does not help is drinking a lot of caffeine, it may seem to give you concentration but you will only crash down harder eventually.

There are activities that do help your efficiency and concentration. Taking a walk outside will give you fresh air and moving your body will help the blood flow. For that same reason, stretching can help release tension. Phoning a friend or having a conversation with anyone will help take your mind of the study material and helps relax your mind.

Robots and persuasiveness

Robot concept

This robot will be designed towards students and high-schoolers between the age of 12 and 25. It will be designed to stand on their desk and guide them during their studying time. The robot has a screen, through which it can communicate with its owner. The robot will communicate on different kinds of things to help the student stay concentrated. It will show icons that will light up to remind the student to for instance drink water, sit up straight or not use their mobile phone. This will be done in a way that it does not distract the user when he/she is busy studying. Of course the robot should not inflict distractions upon the user. Reminding the user to sit up straight, and it would be ideal if the robot could detect the body posture of its user and work from there. Usage of a mobile phone is an interesting problem since there is a possibility to make a box where the user could put their phone into and put a time lock on it. We will research to what extent people are willing to hand in their mobile phone and let the robot restrict them on the use of it.

The robot will, as mentioned earlier, have a screen to communicate. Overall the robot should have a minimalistic design, to prevent possible distractions. Another function is an alarm, which the user can install him/herself. Because of this function, the robot can also remind the user when to go to sleep to get a sufficient amount of rest. The robot should remind the user to take breaks and exercise regularly during the study session to keep their concentration at it's peak while studying.

First Questionnaire results

To get a insight in what is considered distracting by students to make more informed decision about how our robot can better communicate with students, furthermore which type of interaction they would prefer with the robot. Also to what degree students would accept limitations on their phone usage. Lastly we wanted to get initial insight into which aspects of (facial) expressions are most expressive to them.

And in this section we will list our most important findings, for a more comprehensive overview of the finding look into appendix A table 1.


It is clear that many people would find sounds very distracting during their study since 80% is on the 4-5 scale and the over all average is over 4 / 5.

Question 2

The results are varying for this question. 35% would not find it distracting but 27% would. This thus mainly depends on the personal preference of the user.

Question 3

Here it is also very clear that speaking is considered as very distracting since it is high in the 4-5 meaning they strongly agree with the question.


Here the majority varies slightly. However, the majority is in the 4-5 scale meaning that this is considered distracting overall.

Overall lights seem to be the least distracting, it is important we can back this up with literature to be able to use it.

Question 5

Looking at the chart there’s a majority for Physical interaction and voice commands, with a slightly higher percentage for physical interaction. A laptop application is favoured least.


It’s remarkable that this chart is significantly different from the other one. Here an app, physical interaction and laptop app are the majority. Physical interaction is preferred less than previous, however, voice commands have almost no votes.


Again the app on laptop and phone have the majority, with an app on the laptop slightly higher than previous.

Interesting is that in the suggestion there are people saying they don’t want another app or would find the phone distracting.

Question 9

Looking at this chart it is obvious that an extroverted submissive robot is preferred. Meaning that the robot will not force the user and has a clear bubbly personality. Extroverted dominant and introverted dominant are clearly not preferred.

Question 10

The eyes, eyebrows and a mouth are favoured the most. The rest of the options are in a tie, they have some significance but are not necessary. The eyes are clearly important. An unexpected result is the eyebrows, there aren’t many robots which use them.

Question 12

The opinions are very divided on this topic. One obvious answer was not chosen, the robot needing the phone. We did not think that the lock away would be chosen this much. This shows that students feel the need to give up their phone for a while.

Question 13

As seen previously, the robot needing the phone is preferred the least. Second is the limited apps option, which is contradicting the previous result. The robot asking if you can stop using the phone is most accepted. Again the unexpected result is the voluntary give away, apparently, people do accept this.

For us it is now important to look into what is important. Since the limited app is very contradictory this option can be left alone.

Second Questionnaire results

Planning

Approach and milestones

  • how will we solve the problem?
  • milestones per week

Week 1 Define functions needed Research functions and design aspects Week 2 Questionnaire for user input Sketch proposed design Week 3 Analyse questionnaire Sketch detailed design Create base simulation robot Week 4 Finalize simulation Start prototyping Week 5

Week 6 Finish prototype Week 7 Final video

Week 8 Final wiki


Planning table -who does what in which week etc -when is what done

Week Okke Rikmenspoel Christian Janssen Richard van Loon Ahmad Alsarakbi Isabel Kuipers
Week1
Week2
Week3 robot description and research function looking into simulation tools looking into simulation tools compile research and use cases spread the questionnaire and look into the scenario
Week4 Research scheduling and its effect on motivation weebots simulation aspects weebots simulation aspects weebots simulation aspects design choices of the robot interactions
Week5
Week6
Week7
Week8


Worklog

Week 1

Name Total [h] Break-down
Okke Rikmenspoel 4.5 Meetings (3h), Research (1.5h)
Christian Janssen 5 Meetings (3h), Research (2h)
Richard van Loon 5 Meetings (3h), Research (2h)
Ahmad Alsarakbi 5 Meetings (3h), Research (2h)
Isabel Kuipers

Week 2

Name Total [h] Break-down
Okke Rikmenspoel 4.5 Meetings (2.5h), Research (2h)
Christian Janssen 6.5 Meetings (4h), Research (2h), Wiki (0.5h)
Richard van Loon 5 Meetings (4h), Research (0.5h), Planning (0.5h)
Ahmad Alsarakbi 6 Meetings (4h), Research (1h), Questionnaire (1h)
Isabel Kuipers 7 Research (1,5h), Questionnaire (2,5h), Sketch (1h), Wiki (2h), Meetings (4h)

Week 3

Name Total [h] Break-down
Okke Rikmenspoel 4 Robot description (2h), Meetings (2h)
Christian Janssen
Richard van Loon
Ahmad Alsarakbi
Isabel Kuipers

Deliverables

  • wiki page
  • simulated robot
  • prototype (if possible)
  • presentation


After the plan

  • Researched functions chosen
  • Questionnaire + results
  • Design sketch + all the aspects explained
  • Simulation explained
  • Prototype shown and explained

Appendix A

Table 1

Question Result 1 Result 2 Result 3 Result 4 Result 5 Result 6
If the robot would make sounds (with no words) during my studying, I would find that distracting. 4.1 / 5
If the robot would show colored light(s) (without flickering) during my studying, I would find that distracting. 2.9 / 5
If the robot would have a voice and occasionally speak during my studying, I would find that distracting. 4.2 / 5
If the robot would vibrate occasionally during my studying, I would find that distracting. 3.9 / 5
First choice: Type of interaction with the robot Physical interaction = 11 (42.3%) phone App = 4 (15.4%) laptop app = 1 (3.8%) voice command = 10 (38.5%)
Second choice: Type of interaction with the robot Physical interaction = 7 (26.9%) phone App = 10 (38.5%) laptop app = 8 (30.8%) voice command = 1 (3.8%)
Third choice: Type of interaction with the robot Physical interaction = 5 (19.2%) phone App = 8 (30.8%) laptop app = 10 (38.5%) voice command = 3 (11.5%)
If the robot would have a personality, which type of personality would you prefer? Extroverted submissive = 16 (61.6%) Introverted submissive = 7 (26.9%) Introverted dominant = 2 (7.7%) Extroverted dominant = 1 (3.8%)
Which type of (facial) expression/emotion of the robot would you prefer? (You can choose multiple types!) The eyes = 20 (77%) The eyebrows = 15 (57.7) A mouth = 14 (53.9%) A voice = 11 (42.3%) Movement = 10 (38.5%) Sounds = 10 (38.5%)
What limitation/control of your phone usage are you most likely to accept? The robot can detect if you use your phone and ask you to stop = 7 (26.9%) The robot can put your phone on limited apps = 10 (38.5%) voluntarily give your phone to the robot = 9 (34.6%) The robot needs the phone to be locked away for it to function = 0 (0%)
What limitation/control of your phone usage would you be least likely to accept? The robot can detect if you use your phone and ask you to stop = 2 (7.7%) The robot can put your phone on limited apps = 7 (26.9%) voluntarily give your phone to the robot = 3 (11.5%) The robot needs the phone to be locked away for it to function = 14 (53.8%)

First questionnaire question 1

Question 1

First questionnaire question 4

Question 4

First questionnaire question 6

Question 6

First questionnaire question 7

Question 7

References

  1. Gualano, M. R., Lo Moro, G., Voglino, G., Bert, F., & Siliquini, R. (2020). Effects of COVID-19 lockdown on mental health and sleep disturbances in Italy. International Journal of Environmental Research and Public Health, 17(13), 1–13.
  2. David, P., Kim, J. H., Brickman, J. S., Ran, W., & Curtis, C. M. (2015). Mobile phone distraction while studying. New Media and Society, 17(10), 1661–1679.
  3. how do colors influence learning
  4. How Does Color Affect Memory
  5. barker whittle
  6. [Galinsky, T., Swanson, N., Sauter, S., Dunkin, R., Hurrell, J., & Schleifer, L. (2007). Supplementary Breaks and Stretching Exercises for Data Entry Operators : A Follow-Up Field Study. 527, 519–527. https://doi.org/10.1002/ajim.20472]
  7. [Strongman, K. T., & Burt, C. D. B. (2000). Taking breaks from work: An exploratory inquiry. Journal of Psychology: Interdisciplinary and Applied, 134(3), 229–242. https://doi.org/10.1080/00223980009600864]
  8. [Mackey, K. E. (1999). Give Me a Break. IEEE Software, 16(1), 26–27. https://doi.org/10.1109/MS.1999.744562]